Contact Teegan Johnson

Areas of expertise

  • Aerospace Manufacturing
  • Human Factors
  • Industrial Ergonomics and Human Factors
  • Manufacturing Systems


Upon completion of her Masters in Occupational Psychology at the University of Nottingham she joined Cranfield University’s Industrial Ergonomics and Human Factors group within the Department of Integrated Systems. Teegan is a Graduate member of the British Psychological Society, a member of the division of Occupational Psychology and an Associate member of the Ergonomics Society.

Current activities

Teegan Johnson is a Research Assistant, and currently undertaking her PhD, in the Industrial Psychology and Human Factors group at Cranfield University. Since joining Cranfield in 2012 she has worked on a range of projects within the Industrial Psychology and Human Factors group and the EPSRC Centre for Intelligent Automation focusing predominantly on the collection and analysis of human data to enhance the design and performance of automated industrial systems.

She is particularly experienced in postural analysis using traditional and computer-based techniques, advanced task analysis and task decomposition methods to detect tacit cognitive skill elements, and in the novel application of non-optical motion capture for collecting data from occluded environments and incorporating into computer aided design. These innovative techniques enable Teegan to augment traditional subjective human factors methods so that she is equipped to provide a more holistic and robust understanding of human activity and behaviour, thereby enhancing functional analysis and automation design capabilities.

Teegan is involved in various research projects exploring various ergonomics and human factors issues, including research in the aero-structures industry, human skills capture and postural analysis. Teegan’s PhD work is currently exploring the limitations of existing commercially available computer aided design software with the aim of identifying the potential for incorporating higher fidelity human activity data, both physical (via motion capture) and psychological (via mental workload measurement).


  • Airbus
  • Percussion Plus
  • Rolls-Royce
  • Meggitt


Articles In Journals

Conference Papers